Search Results (819)

Climate change is intensifying flood risks globally, yet preparedness behaviors vary dramatically across governance contexts. While past disaster research suggests that institutional trust enables individual preparedness, this relationship remains unexplored in high-capacity governance systems where citizens hold exceptionally strong confidence in government response. We examined this dynamic in the United Arab Emirates, where several surveys have found extremely high levels of public confidence in the local government institutions. In our survey of 900 respondents in the emirates of Dubai and Sharjah we also found that 97% of the respondents had confidence in local government institutions. However, interestingly we also found that while 77% of residents reported past experience with floods, household flood preparedness was markedly low. Using covariance-based structural equation modeling, we tested whether government trust mediates relationships between flood experience, risk perception, and household preparedness. The results revealed that government trust exhibited a strong negative association with flood preparedness, suggesting that institutional confidence may suppress rather than enable household protective action. Notably, flood experience was associated with reduced government trust, likely reflecting the impact of disappointment with service restoration times that exceeded individual expectations. This erosion of trust created positive mediation, indicating that flood experience was associated with increased preparedness. Conversely, higher risk perception was associated with increased trust, which was associated with reduced preparedness through negative mediation. Direct relationships between flood experience and preparedness were statistically non-significant, indicating complete mediation through the trust pathway. Socioeconomic status was positively associated with flood preparedness, with wealthier residents displaying higher protective behaviors. While these findings seem to challenge conventional disaster preparedness theory, the results align with the moral hazard and dependency arguments. Our results show that state-led disaster management in high-capacity governance systems may inadvertently create dependency that increases systemic vulnerability crowding out endogenous adaptive behavior. Building resilience in such contexts requires reframing institutional trust to emphasize shared responsibility rather than externalized protection. Full article

Public trust is essential for the effectiveness and long-term sustainability of open government data (OGD) initiatives, particularly in small island developing states (SIDS), where digital governance systems often operate under infrastructural and institutional constraints. Despite growing global research on OGD trust, limited research has examined how the quality dimensions of information systems’ success models shape citizens’ trust in OGD platforms within Caribbean SIDS. This study examines the hypothesised relationships between service quality, system quality, information quality, data quality, and public trust in OGD using an extended information systems success model (ISSM). Data were collected through an online survey of 904 respondents across Caribbean SIDS and analysed using partial least squares structural equation modelling (PLS-SEM). The findings indicate that all proposed relationships were statistically significant. Data quality showed the strongest statistical association with public trust, followed by system quality. Service quality was also significantly associated with system, information, and data quality. In addition, system, information, and data quality showed significant indirect statistical relationships in the association between service quality and public trust in OGD. This study extends the ISSM framework by conceptualising data quality as a distinct construct within OGD environments. The findings provide practical insights for governments seeking to strengthen transparency, citizen engagement, and sustainable digital governance through higher-quality OGD systems and datasets. The results further highlight the role of open government platforms in improving public service delivery by providing citizens with complete, accurate, and accessible data, interactive feedback mechanisms, and effective data visualisation tools that support informed decision-making and public participation. Full article

Multiple factors such as global climate warming and environmental degradation have increased natural disaster frequencies, threatening the safety of citizens’ lives and properties seriously. Existing literature primarily focuses on livelihood diversification, resilience, and vulnerability in flood-prone areas, with limited research systematically examining farmers’ livelihood risks and management strategies across multiple dimensions. To address this gap, this study advances the understanding of multidimensional livelihood risks by systematically identifying the key risk perceptions and management strategy choices of farmers, thereby providing empirical evidence essential for designing targeted interventions and sustainable adaptation policies in flood-prone regions. Specifically, this study employs an unordered multinomial logistic model to examine farmers’ risk management strategy choices, drawing on a field survey of 540 farmers from floodplain areas in Sichuan Province, China. The analysis systematically covers four livelihood risk dimensions (health, environmental, financial, social) and five management strategies (expansion, adjustment-oriented, contraction, aid-oriented, dependency-based). The results indicate that: (1) The most significant livelihood risk is environmental, and the most commonly selected risk management strategy is adjustment-oriented management; (2) When farmers face health risks, they tend to adopt dependency-based management strategy; in dealing with financial and social risks, farmers perceive no significant difference in the selection of the five management strategies. Accordingly, targeted strategies are proposed: insurance and information for environmental risks, medical security for health, employment training for social, and income diversification for financial risks. Full article

GEOGUIAS is a certified training program designed to qualify local citizens as knowledgeable tour guides. It is promoted by the Oeste UNESCO Global Geopark and supported by the national tourism authority. The main objective of the program is to foster sustainable tourism and Geoeducation by empowering trainees to conduct geotourism and educational activities grounded in the geological, historical, cultural, and natural heritage of their region. This study presents the results of a survey completed by 51 certified geoguides, characterising their profile, expectations, and perceived outcomes. It addresses the impacts of training on geoguides, looking at the perceived changes induced by the program on their local and professional or personal activities, regarding sustainable tourism in the territory. Finally, the study assesses the broader impact of the program in terms of local networking, geotourism development, sustainability, and regional socio-economic dynamics in the Oeste UNESCO Global Geopark. Full article

Citizen science (CS), meaning the participation of the public in scientific research, is very popular for studying many aspects of biodiversity. Plant diversity on the other hand has not been extensively studied with CS in spite of the critical role of plants in ecosystems. To acquire a clearer picture of this field of research we carried out a comparative bibliometric analysis of articles from 2005 to 2026 on four geographical levels: globally, Europe, Mediterranean and Greece. We used the Biblioshiny web app with data extracted from the Web of Science Core Collection database. Differences in both the quantity and the quality of research were shown, as well as a great degree of lack of plant awareness (LPA). Very little research in this field has been conducted for Greece in spite of its rich plant diversity. Our findings also confirm the existence of bias in the socio-economic background of participants in CS. It is worth noting that plant diversity and CS play a key role in achieving the United Nations SDGs. Consequently, plant-focused CS on a global and regional scale should be further evolved to reverse topic development dissimilarities, combat LPA and support sustainable development. Given the context of Greece, amplifying scientific efforts could further develop botanical knowledge and its applications in a biodiversity hotspot. Full article

Despite an ageing society emerging as a global challenge, urban spaces still do not adequately address the spatial needs of older citizens. Numerous studies analyse built environment characteristics in relation to the mobility of older citizens, yet studies on the quality of older pedestrians’ perception of spatial attributes with their levels are scarce. This scoping review of 2855 records from 2013 to 2023, exported from Scopus and Web of Science, aimed to identify common patterns with respect to the aspects used in the assessment of the quality of urban spaces for older adults, with the emphasis placed on spatial attributes measured through different levels. Following PRISMA-ScR, the analysis was conducted in AsReview, a scientific tool using ML. Inclusion criteria were: peer-reviewed English-language journal articles and conference papers; the inclusion of spatial attributes in urban planning, measuring the perception of pedestrians, using a conjoint experiment, or urban digital twins; and taking into account an ageing society. The author performed the coding of 115 eligible records in four iterative rounds with the use of Atlas.ti. The findings show that Land Use & Buildings/Destinations, Sidewalk and Amenities, and Aesthetics/Urban Form were the most frequently occurring aspects. Attribute levels were proposed only in 10 records. No study incorporated stated preference and 3D walk-through environments to quantify older adults’ perception of walkability-related attributes. This represents a methodological gap for future research on older adults’ walkability perception. Urban planners and other decision-makers may use the findings of this study to support the design and management of age-friendly, sustainable, and inclusive street environments. Full article

With the 2030 deadline for the United Nations Sustainable Development Goals (SDGs) approaching, there is a growing global urgency to identify innovative, scalable, and inclusive AI-based or AI-enabled solutions capable of accelerating progress across sectors. Yet the benefits of AI remain unevenly distributed, particularly in low-resource settings where limited infrastructure, cost barriers, and unequal access to skills constrain adoption. This paper explores how Tiny Machine Learning (TinyML)—a low-power, low-cost edge AI paradigm—offers a concrete technological pathway aligned with the principles of Frugal AI, providing accessible, energy-efficient, and context-adapted tools for sustainable development. We evaluate how participatory citizen science, when combined with TinyML, enables communities to co-create AI applications that address locally defined challenges in environmental monitoring, agriculture, and public health. Drawing on early outcomes from workshops, collaborative projects, and innovation competitions, the paper examines how TinyML-enabled participatory approaches cultivate technical skills, stimulate grassroots entrepreneurship, and generate prototypes suited to low-resource environments. Using a qualitative multiple-case study of 50 participatory TinyML initiatives across 22 countries, we analyse how frugal edge-AI practices support skills formation, prototype development, and early entrepreneurial engagement. The analysis identifies the pedagogical, technical, and institutional frameworks that support successful participatory AI initiatives, emphasizing open educational resources, cross-sector partnerships, and community-driven problem formulation. We introduce the Frugal Edge AI Lean Canvas to help innovators identify novelty, ethical implications, and measurable impact. TinyML-based participatory innovation offers a promising route for accelerating SDG progress by expanding who can create, deploy, and benefit from AI. Full article

This study applies the Actor-Centered Power (ACP) framework to analyze urban green-space governance in three Asian cities, focusing on how power is distributed and exercised among actors in the management of their representative multipurpose parks: Seoul Forest in Seoul, Da’an Forest Park in Taipei, and Yoyogi Park in Tokyo. Conventionally used in large-scale forest governance in the Global South, ACP is extended here to East Asian cities of the Global North. This can provide nascent insight into how coercion, (dis)incentives, and information operate across different institutions. The study found that the initial formation of the parks was driven by potent actors through coercive measures in all three cities. While Seoul maintains centralized statutory governance under the national act, Taipei adopts a decentralized governance model that foregrounds subordinate actors, notably exemplified by the higher education-oriented foundation. This organization promotes citizen science involvement and community-based stewardship. Tokyo, by contrast, uses a public–private partnership model that supports private sector commercial collaboration. This comparative case study demonstrates that the ACP framework is well-suited for analyzing urban green-space governance, as it distinguishes between power subjects (potentates and subordinates) and power sources (coercion, incentives, and information), providing theoretical and managerial implications. Through the lens of the ACP framework, this study argues that distinct institutional arrangements produce divergent power configurations for urban green-space management even within similarly developed urban contexts. Full article

Disasters pose severe threats to life, livelihoods, and socioeconomic stability globally, with disproportionate impacts on vulnerable groups. Despite growing recognition of the importance of citizen engagement in disaster risk reduction and resilience (D3R), existing participatory frameworks remain fragmented, predominantly top-down, and unsustainable beyond project funding cycles. There is a recognised need for an integrated conceptual framework that aims to systematically embed co-design and co-create principles into D3R governance while aiming to ensure the inclusion of vulnerable populations. This paper addresses this gap by presenting the Co-Design Co-Create Framework (CCF), a conceptual institutional model for citizen engagement in D3R. The CCF comprises six iterative phases—KNOW, RAISE AWARENESS, CO-DESIGN CO-CREATE, OUTREACH, KEEP ENGAGED, and EVALUATION—organized as a Living Lab ecosystem. Distinctive conceptual innovations include a Disaster Assembly mechanism designed to promote long-term sustainability through polycentric governance, explicit inclusion of vulnerable groups via Social Vulnerability Index assessment, proposed dual production of co-created policies and co-designed tangible solutions, and participatory tools including Policy Delphi and Storytelling. Unlike conventional time-bound initiatives, the CCF is designed to address critical gaps in existing disaster risk reduction (DRR) practices through embedded sustainability mechanisms, citizen empowerment aimed at Arnstein’s highest participation level, systematic knowledge-to-product translation, and bottom-up planning principles. This conceptual framework conceptualises disaster resilience as a continuously evolving, socially legitimate, and just process anchored in durable governance structures. Empirical validation through field implementation constitutes a direction for future research. Full article

Brazil holds 13% of the global biodiversity; however, agricultural expansion threatens its biomes. Farmers are pivotal for conservation, as 71% of the country’s territory is rural property. A ‘citizen science’ project, which engaged students and farmers to monitor wildlife in forest remnants using camera traps was carried out in a rural municipality located in the Atlantic Forest biome. The endangered species Puma concolor and the invasive species Sus scrofa, alongside other native fauna, were documented in the area. In addition to securing these new records, the project aimed to open dialogs, fight misinformation, and strengthen local partnerships. It highlighted how community-based science can bridge the gap between biodiversity conservation and agricultural production. Full article

This study examines how the international harmonisation of intellectual property rules, particularly trade secret protection, reshapes the governance of artificial intelligence (AI) in ways that both enable and threaten justice. We argue that convergent standards on undisclosed information are essential for legal certainty in knowledge-intensive AI investments. Such standards are anchored in TRIPS, reinforced by WIPO guidance and digital trade agreements, and complemented by regional instruments such as the EU Trade Secrets Directive. This emerging framework facilitates cross-border technological cooperation while helping prevent the “regulatory expropriation” of code, models, and data infrastructures. At the same time, when this pro-secrecy architecture is extended to opaque algorithmic systems that mediate access to credit, employment, welfare, health and justice, it can entrench digital vulnerability: information asymmetries between firms, states and citizens; barriers to meaningful transparency and audit; and pathogenic forms of exclusion that disproportionately affect already disadvantaged groups. Building on the concept of digital and structural vulnerability, the paper defends a vulnerability-sensitive approach to harmonisation in which trade secret protection is balanced against human rights, algorithmic accountability and the regulatory space of Global South states. We conclude that only an intellectual property regime guided by an ethics and politics of vulnerability can reconcile economic integration, technological development and reducing digital vulnerability in deeply unequal societies. Full article

The accelerated expansion of artificial intelligence (AI) is reshaping economic systems, labour markets and democratic life, giving rise to hybrid human–AI societies. In this context, education becomes a strategic arena for enabling sustainable and socially just transitions within the Fourth Industrial Revolution. This article examines how digital competence can be reconceptualized to prepare future citizens and educators for these emerging societal configurations, with particular attention to the Ibero-American context. A conceptual framework is proposed that integrates algorithmic literacy, critical data awareness, AI ethics, human–AI collaboration skills, and civic and socio-emotional capacities as core dimensions of “next-decade” digital competence. Methodologically, the study combines three complementary approaches: (a) a structured review of interdisciplinary literature on AI, digital competence and sustainability; (b) an analysis of international and regional policy documents and competence frameworks relevant to Ibero-America; and (c) selected empirical insights drawn from the first author’s doctoral research on digital competence and AI use in teacher education. The findings reveal significant tensions between rapid AI adoption and persistent structural inequalities in the Global South, while identifying key leverage points for aligning teacher education, public policy and institutional strategies with the Sustainable Development Goals. The proposed framework aims to support policymakers, universities and international organizations in fostering inclusive and sustainable AI-driven social change while mitigating new forms of exclusion and dependency. Full article

Recent geopolitical tensions and the global energy crisis have highlighted the urgent need to shift from traditional energy supply models towards sustainable solutions involving active participation from citizens, public authorities, and private actors. Renewable Energy Communities (RECs) are emerging as a novel form of community-based entrepreneurship grounded in social innovation and participatory governance, capable of generating economic and socio-environmental benefits. This study presents a systematic literature review using the PRISMA methodology, based on a Scopus search until 10 August 2025, to identify key research trends in the social and political dimensions. The final corpus includes 45 peer-reviewed journal articles, classified into two dimensions: 26 addressing the social dimension, centred on acceptance, engagement, trust, and behavioural drivers; and 19 focusing on the political, encompassing regulatory frameworks and governance arrangements. The review reveals that social factors mobilise and sustain collective participation, while political ones reduce coordination costs and support replication. Crucially, the analysis points to the social legitimacy that sustains RECs but cannot ensure their diffusion without institutional support; conversely, enabling frameworks fail to deliver scalable outcomes when not anchored in local acceptance and participation. Furthermore, the review identifies the potential of RECs in addressing energy poverty, distinguishing between empirical evidence and normative expectations. These findings are particularly relevant for territorially fragile areas, where RECs can foster resilience and inclusivity. Full article

Physical activity is today a major global problem, since it is associated with physical, psychological, and social health risks. Promoting active mobility by using walking and cycling as modes of transportation has been proposed as one of the strategies to promote physical activity in urban areas while also addressing several of the United Nations’ Sustainable Development Goals. This study aimed to examine whether the adoption of active mobility behavior contributes to individual well-being and further test which constraints individuals face when adopting it. The sample of the study consisted of 294 citizens from Enterprise and Innovation a metropolitan area in Greece. The factorial analysis of the constraints active mobility scale confirmed the five dimensions: environmental, psychological, individual, social, and interest. The results indicated that citizens who reported the use of active mobility were more likely to report higher levels. Furthermore, lack of interest was not the main reason for not using active mobility. Instead, most of the reported constraints were directly or indirectly related to the inadequate, unfriendly, and unsafe urban infrastructure, which creates concerns about individual safety. The implications of these results are discussed. Full article

Efforts to build a sociobiodiversity-based bioeconomy increasingly depend on recognizing and rewarding the stewardship practices carried out by Indigenous Peoples and Local Communities, and smallholder farmers. Yet, such practices, rooted in collective governance, traditional knowledge, and care for ecosystems, remain largely invisible in market and policy frameworks. This study compares recognition mechanisms for stewardship practices worldwide (38 case studies) and in Brazilian projects supporting sociobiodiversity chains (384 projects) using an inductive typology of material and non-material recognition and Arnstein’s Ladder of Citizen Participation. Results show that 70% of cases combine multiple recognition forms, but their distribution and empowerment outcomes diverge. Globally, recognition mechanisms are more balanced, often codified in laws, participatory councils, and payment-for-ecosystem-service schemes that place communities on the upper rungs of Arnstein’s ladder, with co-management authority. In Brazilian projects, recognition remains predominantly material and focused on short-term interventions–capacity-building, equipment, and market access, corresponding to lower rungs of citizen participation. Overcoming this condition requires policies that couple economic incentives with institutionalized participation. Markets alone will not value the non-material elements that sustain sociobiodiversity. Implementing Brazil’s National Bioeconomy Strategy will therefore depend on public policies that reward both the products and the collective stewardship behind them. Full article